The Lead Generation Tech Stack We Use After Testing 60+ Databases

We’ve tested more than 60 lead generation databases across different industries, regions, and use cases. Some worked great while others were overpriced. After sending millions of cold emails, one thing became clear: there is no single tool that gives you perfect data. Every serious outbound system is built on stacked sources, redundancy, and verification.

This article breaks down the exact tool categories we use, why each matters, and how they fit together to produce better targeting and higher reply rates.

Contact & Lead Databases

Contact and lead databases are your foundation. These tools provide names, job titles, companies, and basic firmographic filters. We use them to build the first version of any list before enriching or validating it with other sources.

SalesRobot

Combines LinkedIn prospecting with cold email outreach and AI-powered reply handling in one platform. We include it here because it bridges the gap between data sourcing and execution. Once you pull leads from Sales Navigator or Apollo, SalesRobot lets you run LinkedIn sequences and email follow-ups from the same workflow without exporting between tools.

Apollo.io

Our default starting point for bulk contact discovery. Affordable, fast, and flexible for building large ICP-based lists.

Listkit.io

Strong source for phone numbers and supplemental contact data. We mainly use it as a backup database.

Prospeo.io

Useful for both emails and phone numbers. Works well in waterfall enrichment flows when a primary source misses data.

Ocean.io

Excellent for finding lookalike companies based on your best customers. Great for expansion lists.

Crunchbase

Best for funding and growth signals. Ideal when targeting recently funded companies.

Pitchbook

Deep coverage on private company revenue, funding, and financials. More expensive, but powerful for high-ACV targeting.

LeadMagic

Combines contact data with technographics, ad spend insights, and job information.

ContactOut

Great tool for finding personal email addresses and direct dials that other databases miss, especially when sourcing high-level talent or niche decision-makers on LinkedIn.

Owler / Harmonic / DoAI

Higher-end datasets focused on company intelligence. Useful when you need richer firmographic detail.

Sales Navigator 

One of the most reliable sources for fresh titles, roles, and company changes. Often used alongside scraping.

SaasyDB

Prebuilt SaaS-focused company database. Helpful when selling exclusively to software businesses.

Technographics & Website Data

Technographics tell you what software a company uses and how its website is built. This data is incredibly useful for segmentation and eventual personalization. Instead of guessing who might need your product, technographics lets you filter based on real usage.

Examples:

• Companies using HubSpot
• Stores built on Shopify
• Businesses running Webflow
• Teams using Salesforce

BuiltWith

Shows which technologies are installed on a website, historical changes, and usage patterns. Great for building highly targeted lists.

PredictLeads

Strong alternative to BuiltWith that combines technographics with hiring data. Useful for spotting buying signals.

Wappalyzer

Lightweight option for checking tech stacks quickly. Good for spot checks and small projects.

WhatRuns

A browser-based tool for identifying CMS, analytics, and plugins.

Netcraft

Helpful for infrastructure-level data such as hosting, servers, and site technologies.

IP Query / Patent Data

Niche datasets we occasionally use for specialized targeting, such as companies owning specific patents or operating within narrow technical categories.

E-commerce Data

When selling to e-commerce brands, generic business databases are often not enough. You need datasets that focus specifically on online stores, platforms, and store-level signals.

This category will help you identify:

• Active stores
• Platform (Shopify, WooCommerce, Magento, etc.)
• Estimated revenue ranges
• Store size and growth stage

StoreLeads

This is a go-to e-commerce database. Covers millions of stores with platform data, revenue estimates, and contact details. Often sufficient as a standalone source.

BrandApp.io

E-commerce company database focused on brand-level insights. Useful as a secondary source.

Charm.io

Another e-commerce-focused dataset for store discovery and enrichment.

Local Business / Map Scraping

For local businesses, traditional B2B databases may not be the best. Most local companies never appear in Apollo, Crunchbase, or similar tools.

Instead, we recommend map-based and directory scraping. This category is ideal for:

• Restaurants
• Dentists
• Gyms
• Contractors
• Clinics
• Local service businesses

PhantomBuster

Automation platform with ready-made scrapers for Google Maps, LinkedIn, Twitter, and Instagram.

OutScraper

Our preferred tool for Google Maps scraping. Simple, fast, and accurate for pulling business listings and contact info.

D7 Lead Finder

Popular local lead generation tool for city + category searches.

Yelp

Public directory that can be scraped or manually mined for local business data.

Social / Content Data

Social and content-based datasets help identify people who are actively creating or publishing relevant content, speaking, or publishing. This data is gold for personalization. You can reference:

• A podcast episode
• A tweet
• A LinkedIn post
• A community they run

PSeeker / GoCo

Excellent for podcast discovery. It lets you find hosts, guests, and show metadata. Great for warm personalization.

ScrappyBird

Instagram scraping tool for pulling profiles, bios, and sometimes contact data.

TweetScraper

Scrapes Twitter/X profiles, tweets, and followers.

Slack Scrapers

Used for extracting data from public Slack communities and directories.

Healthcare Data

Healthcare is one of the hardest industries to source reliably. Most general-purpose databases have poor coverage, outdated records, or shallow data for hospitals, clinics, and healthcare operators. For serious healthcare targeting, use specialized datasets.

DefinitiveHC

Healthcare-focused intelligence platform covering hospitals, health systems, clinics, and provider organizations. Includes firmographics, technographics, and operational data. It’s expensive, but necessary if healthcare is a core vertical.

Agency Directories

Agencies are easy to find but hard to segment properly with standard databases.

Directories solve this by grouping agencies by:

• Service type
• Industry focus
• Location
• Company size

Clutch.co

A primary agency directory. Strong filters, reviews, and company profiles.

Sortlist.com

Another agency directory with global coverage.

AgencyVisit.com

Simple directory for discovering digital agencies.

PE / VC Data

Private equity and venture capital data are useful for:

• Finding portfolio companies
• Tracking ownership changes
• Identifying newly funded businesses
• Targeting investors themselves

This category is especially valuable for high-ticket B2B and enterprise offers.

Grata

Strong PE-focused dataset with company, owner, and transaction data.

SourceScrub

Large database of private companies and PE-backed businesses.

Connect

PE/VC dataset for sourcing firms and portfolio companies.

Visible.vc

VC-focused platform with startup, investor, and portfolio insights.

Ad Libraries

Ad libraries show what companies are actively advertising. This is intent data. If a business is running ads, it is spending money and actively trying to grow. We use ad libraries to:

• Spot aggressive advertisers
• Identify offer angles
• Build targeted lists

Facebook Ad Library

Public database of active Facebook and Instagram ads. Can be scraped for advertiser data.

Google Ads Library

Shows ads running across Google properties. Less commonly used, but still valuable.

Lead Verification Tools We Use

Verification tools ensure the emails you plan to send actually exist. No matter how good your databases are, you should never send without verification. Even premium data sources contain invalid or outdated emails.

This layer protects:

• Bounce rate
• Domain reputation
• Deliverability

MillionVerifier

Our default choice. Affordable and fast.

LeadMagic

Low-cost verifier that also handles catchall detection.

ZeroBounce

Enterprise-grade verification with deeper diagnostics.

BounceBan

Best-in-class for catchall verification.

Scraping Tools

Scraping gives you access to data that no database sells. We use scraping when:

• Data is locked inside directories
• Niche sites hold valuable lists
• Platforms don’t offer exports

Python

Used for custom-built scrapers and advanced workflows.

Apify

Cloud-based scraping platform with many prebuilt actors.

Instant Data Scraper

Chrome extension for simple table scraping.

Browserflow.app

Automation + scraping tool for browser-based workflows.

Custom Developer-Built Scrapers

Used for unique websites and complex extraction needs.

Lead Generation Stack Strategy Used by Aerosend

Relying on a single database is how outbound teams end up with coverage gaps, stale contacts, and underperforming campaigns for reasons they can’t diagnose.

We build every lead generation stack the same way:

• 1 primary paid database as the foundation (usually Apollo)
• 1 to 2 backup databases to fill gaps the primary misses
• Technographics layer to filter by real software usage, not guesswork
• Verification layer on every list before a single email is sent
• Scraping where needed for data, no database sells

The logic is simple. No single provider has complete data. Coverage varies by industry, region, company size, and the recency of record updates. Stacking sources and verifying everything is the only way to build lists you can actually trust.

If one source goes down, gets worse, or raises prices, the system keeps running. That redundancy is the difference between a fragile process and a reliable one.

Frequently Asked Questions